
Senior Cloud Data Architect
3 hours ago
Data Engineering Role: We are seeking an experienced Data Engineer to join our team.
Job Summary: The ideal candidate will have expertise in AWS services, data engineering principles, and experience with Python and SQL.
Key Responsibilities:
- Design and implement robust data pipelines using AWS services.
- Ensure data integrity and performance of data processing and storage systems.
- Optimize data flows and architecture within AWS.
- Develop scalable ETL processes and APIs for data interaction.
- Collaborate with cross-functional teams to gather technical requirements.
- Monitor and troubleshoot operational or data issues in the data pipelines.
- Continuously improve systems and processes by integrating new tools and technologies.
Requirements:
- Expertise in AWS services such as S3, EC2, RDS, Redshift, and Glue.
- Proficiency in Python with libraries and frameworks for data engineering.
- Strong command of SQL for creating, managing, and optimizing data structures and complex queries.
- Familiarity with orchestration tools and data integration techniques.
- Understanding of data warehousing solutions and ETL processes.
- Knowledge of data modeling and database design.
- Ability to write clean, maintainable code adhering to best practices.
- Experience with CI/CD pipelines in an AWS environment is a plus.
Qualifications:
- Minimum two years of experience in data engineering or related field.
- Strong proficiency in building data pipelines in AWS environments.
- Experience with Python scripting and data manipulation.
- Advanced SQL knowledge for complex querying.
- Bachelor's degree in computer science, engineering, or related field preferred.
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